The electrical submersible pump (ESP) is one of the most common forms of artificial lift pumping techniques used in the industry. ESP lift method helps maximize the production of recoverable oil by achieving higher drawdowns and larger fluid volume…
The electrical submersible pump (ESP) is one of the most common forms of artificial lift pumping techniques used in the industry. ESP lift method helps maximize the production of recoverable oil by achieving higher drawdowns and larger fluid volume…
Aiming at the reservoir with natural fractures in SHB oil and gas field, the support vector machine (SVM) and support vector regression method were used to predict the daily production of 18 blow wells in SHB main fault zone. By inputting variables…
Integrated electricity-gas system is a feasible way of achieving full use of surplus power from wind and solar energy. In this paper an integrated electricity-gas system scheduling model considering the characteristics of carbon trading and power to…
Shale oil and gas have become very promising unconventional energies in recent years. To optimize operations in oil and gas production, a reservoir model is important for understanding the subsurface appropriately. Generally, sensor data, such as…
In the context of decarbonization and fossil fuel independence, Chile has a great task ahead. The most relevant is to become carbon neutral by 2050 by replacing fossil fuels with clean energy sources, where, besides hydraulics, solar and wind power…
Intelligent oil and gas system is becoming more and more popular. Carbonate lithology is a crucial part of reservoir characterization. The classification of lithology is an important task in petroleum exploration and engineering since it influences…
Drilling data shows the features of a large number, various types and dispersing. To make drilling decisions, these features can not support the analysis of multidimensional rapidly and effectively. Based on the HADOOP architecture, this paper puts…
The deep-water gas field in the South China Sea has been officially put into operation, but due to the strong energy of the bottom water in the offshore gas field, the production well is prone to water flooding, resulting in a serious decline in gas…
In this research project, we proposed a novel customer persona algorithm based on unsupervised clustering algorithms with additional important indicators for scoring within each class. This algorithm is tailored for the PetroChina Southwest Oil and…
The Petroleum Analytics Learning Machine (PALM) is a machine-learning-based, “brutally empirical” analysis system for managing the Internet of Things (IoT) in upstream and midstream oil and gas operations. PALM was developed in the new unconventional…
With the rapid development of energy industry, more requirements are put forward for the processing of energy data. In order to extract more value from multi-source heterogeneous data, it is necessary to combine various sources and different forms of…
In recent years economic an social activity fields is based on data. Oil and gas industry leaders understand the value of big data and are interested in digital oil industry becoming a reality. Here is big data is analysed as a key component in based…
The feed, temperature, pressure and other conditions of the catalytic cracking main fractionator will have an impact on the output of gasoline and diesel. From the perspective of economic efficiency and technology, it is so necessary to establish a…
Industrial process control systems collect a vast amount of production data, especially time-series data from various sensors in a plant. This data provides a plethora of potential use cases for AI and machine learning that can help plant operators…
Big data (BD) analytics is one of the critical components in the digitalization of the oil and gas (O&G) industry. Its focus is managing and processing a high volume of data to improve operational efficiency, enhance decision making and mitigate…
Intelligent oil and gas system is becoming more and more popular. Carbonate lithology is a crucial part of reservoir characterization. The classification of lithology is an important task in petroleum exploration and engineering since it influences…
Machine learning is becoming prevalent increasingly for reservoir characteristics analysis in the petroleum industry. This investigation proposes an alternative way for evaluating interwell connectivity in oil fields utilizing machine learning. In…
Accelerating the deep integration of digitalization and industrialization is an important way and inevitable for the energy industry to achieve high-quality development. Big data, artificial intelligence and other technologies are key production…
In recent years economic an social activity fields is based on data. Oil and gas industry leaders understand the value of big data and are interested in digital oil industry becoming a reality. Here is big data is analysed as a key component in based…
The energy data scope is very broad including oil and gas, coal, minerals, new energy, renewable and conversion energy, electricity, and others. The different volume, variety, veracity, and velocity of data have challenge to address with the energy…
Big data analysis technology can be used to transform massive data of oil production engineering into knowledge that can be used to guide oilfield production. Due to the lack of suitable large data analysis tools, a large data analysis software…
With the rapid development of information technology and digital communication, the data types are more abundant by integration of various technologies. In this paper, based on the analysis of a large number of historical data of oil and water wells,…
Virtual reality technology is called one of the most innovative technologies in the 21st century, It is the theme of this paper to study how to combine virtual reality technology with agriculture under the environment of rural revitalization by using…
The Petroleum Analytics Learning Machine (PALM) is a machine-learning-based, “brutally empirical” analysis system for managing the Internet of Things (IoT) in upstream and midstream oil and gas operations. PALM was developed in the new unconventional…
At present, the application of big data analysis technology is developing rapidly. It has achieved remarkable results and benefits in the electricity business, the internet and other areas. But in the field of petroleum engineering, the big data…
The development and maturity of the big data technology is a great opportunity for the oil and gas industry. It provides a new way to solve many problems which puzzle the oil and gas exploration. At the same time it is also a huge challenge.…
The oil and gas industrial sector is nowadays inclined towards utilizing smart field technologies for optimizing various operations of upstream, midstream and downstream sectors. The recent advances in Internet of things (IoTs) have promising…
Corrosion monitoring and early detection of pits and wall thinning for casing pipes are considerably important to gas and petroleum industries since the frequently occurring corrosion at the internal or external parts of those steel casing pipes used…
Nowadays, large industries of financial, technological, manufacturing, energetic, and service sectors have accomplished the incorporation of Data Science in their operations, processes, and work structures, obtaining significant improvements in their…
The risk for accidental leaks of hydrocarbons from pipelines on the seabed is expected to increase due to mainly corrosion effects. To assure uninterrupted hydrocarbon production, and to avoid conflicts with expected more strict environmental…
The growth in the use of renewable energy sources, such as solar, requires an energy system with greater flexibility to guarantee efficient integration between the generation sources and loads connected to the grid. Energy storage systems (ESS)…
In this paper, maleic anhydride, EVA, and tetradecyl primary amine were used as raw materials to synthesize an amidated maleic anhydride-EVA copolymer as pour point depressant. The pour point depressant is formulated with a certain amount of enhancer…
The article presents the approach to modelling the global natural gas market. As endogenous variables of the model, evaluating the world market, three variables are selected: world exports, world natural gas production, world market natural gas…
The potential for transportation biofuels to displace petroleum fuels is recognized. Biofuels are produced from either cultured or waste biomass. This potential has spurred a tremendous amount of research and development. Yet, past commercialization…
This paper presents an energy storage system (ESS) sizing model and reliability assessment framework to quantify reliability improvements due to ESS of electric energy systems with high penetration of renewables. The model formulation takes into…
Shales are generally treated as non-porous formations and are frequently considered as the source rock and the cap layer. Over the past decades, technical breakthroughs in the US such as horizontal drilling, multi-stage hydraulic fracturing,…
In this paper, maleic anhydride, EVA, and tetradecyl primary amine were used as raw materials to synthesize an amidated maleic anhydride-EVA copolymer as pour point depressant. The pour point depressant is formulated with a certain amount of enhancer…
Natural gas hydrate (NGH) is a highly efficient and clean energy, with huge reserves and widespread distribution in permafrost and marine areas. Researches all over the world are committed to developing an effective exploring technology for NGH…
The BAM project was conceived to face the problems of the brick construction of the OPERA detector target. An OPERA brick is made of a pile (interleaved lead and nuclear emulsion sheets), kept under a pressure of 3 bar. The brick must be a precise…
Intelligent oil and gas system is becoming more and more popular. Carbonate lithology is a crucial part of reservoir characterization. The classification of lithology is an important task in petroleum exploration and engineering since it influences…
Sustained annular pressure (SCP) is a common phenomenon in offshore gas fields, which poses a threat to the integrity of gas Wells. Among all the causes, the leakage of tubing string poses the greatest threat to the safety of production. In…
The antenna is an important part of the radio frequency method to measure the water content. With the continuous development of gas field, the water production of gas wells has shown significant growth trend during the mine of conventional natural…
At present, the stable production capacity evaluation of gas reservoirs is mostly numerical simulation, and the heterogeneity and water production of gas reservoirs are considered comprehensively. Taking QXZ gas reservoir producing well in Block SYS…
In this paper, maleic anhydride, EVA, and tetradecyl primary amine were used as raw materials to synthesize an amidated maleic anhydride-EVA copolymer as pour point depressant. The pour point depressant is formulated with a certain amount of enhancer…
Titian gas field has about 100m3/d gas condensate that is require to be transported to Pinghu integrated platform, then transported to Daishan terminal through Pinghu-daishan 16" oil sea tube. The platform is without storage means, Pinghu-daishan 16"…
The limited global crude oil reserve coupled with the environmental worsening caused by the excessive consumption of petroleum-derived fuels, has forced human to look for alternative sources of energy. Ethanol, both renewable and environmentally…
Coffee is one of the most popular beverages in the world. Over 50% of this mass is discarded after use, becoming a significant waste source known as spent coffee grounds (SCG). SCG usage as a raw material for biogas production emerges with great…
Nowadays one of the priority research areas for achieving technical progress within the Industry 4.0 program is the development of artificial intelligence and the introduction of innovations based on it into real industrial production. The article…